A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention

Large–scale neural correlates of auditory selective attention reflected in the electroencephalogram (EEG) have been identified by using the complex wavelet–phase stability measure (WPS). In this paper, we study the feasibility of using the WPS in extracting the correlates of selective attention by...

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Main Author: Low , Yin Fen
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/3974/
http://eprints.utem.edu.my/id/eprint/3974/1/YFLowNER2011.pdf
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author Low , Yin Fen
author_facet Low , Yin Fen
author_sort Low , Yin Fen
building UTeM Institutional Repository
collection Online Access
description Large–scale neural correlates of auditory selective attention reflected in the electroencephalogram (EEG) have been identified by using the complex wavelet–phase stability measure (WPS). In this paper, we study the feasibility of using the WPS in extracting the correlates of selective attention by comparing its performance to the widely used linear interdependency measures, i.e., the wavelet coherence and the correlation coefficient. The outcome reveals that the phase measure outperforms the others in discriminating the attended and unattended single sweep auditory late responses (ALRs). Particularly, the number of response sweeps that are needed to perform the differentiation is largely reduced by using the proposed measure. It is concluded that a faster (in terms of using fewer sweeps) and more robust objective quantification of selective attention can be achieved by using the phase stability measure.
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institution Universiti Teknikal Malaysia Melaka
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publishDate 2011
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spelling utem-39742015-05-28T02:38:57Z http://eprints.utem.edu.my/id/eprint/3974/ A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention Low , Yin Fen Q Science (General) TA Engineering (General). Civil engineering (General) Large–scale neural correlates of auditory selective attention reflected in the electroencephalogram (EEG) have been identified by using the complex wavelet–phase stability measure (WPS). In this paper, we study the feasibility of using the WPS in extracting the correlates of selective attention by comparing its performance to the widely used linear interdependency measures, i.e., the wavelet coherence and the correlation coefficient. The outcome reveals that the phase measure outperforms the others in discriminating the attended and unattended single sweep auditory late responses (ALRs). Particularly, the number of response sweeps that are needed to perform the differentiation is largely reduced by using the proposed measure. It is concluded that a faster (in terms of using fewer sweeps) and more robust objective quantification of selective attention can be achieved by using the phase stability measure. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3974/1/YFLowNER2011.pdf Low , Yin Fen (2011) A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention. In: The 5th International IEEE EMBS Conference on Neural Engineering, April 27 - May 1, 2011, Cancun, Mexico.
spellingShingle Q Science (General)
TA Engineering (General). Civil engineering (General)
Low , Yin Fen
A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention
title A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention
title_full A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention
title_fullStr A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention
title_full_unstemmed A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention
title_short A Performance Study of the Wavelet-Phase Stability in the Quantification of Neural Correlates of Auditory Selective Attention
title_sort performance study of the wavelet-phase stability in the quantification of neural correlates of auditory selective attention
topic Q Science (General)
TA Engineering (General). Civil engineering (General)
url http://eprints.utem.edu.my/id/eprint/3974/
http://eprints.utem.edu.my/id/eprint/3974/1/YFLowNER2011.pdf